Correlation Between GM and Home Consortium
Can any of the company-specific risk be diversified away by investing in both GM and Home Consortium at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining GM and Home Consortium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Home Consortium, you can compare the effects of market volatilities on GM and Home Consortium and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in GM with a short position of Home Consortium. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Home Consortium.
Diversification Opportunities for GM and Home Consortium
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between GM and Home is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Home Consortium in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Home Consortium and GM is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on General Motors are associated (or correlated) with Home Consortium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Home Consortium has no effect on the direction of GM i.e., GM and Home Consortium go up and down completely randomly.
Pair Corralation between GM and Home Consortium
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.94 times more return on investment than Home Consortium. However, General Motors is 1.06 times less risky than Home Consortium. It trades about -0.01 of its potential returns per unit of risk. Home Consortium is currently generating about -0.22 per unit of risk. If you would invest 5,404 in General Motors on December 26, 2024 and sell it today you would lose (145.00) from holding General Motors or give up 2.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
General Motors vs. Home Consortium
Performance |
Timeline |
General Motors |
Home Consortium |
GM and Home Consortium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Home Consortium
The main advantage of trading using opposite GM and Home Consortium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Home Consortium can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Home Consortium will offset losses from the drop in Home Consortium's long position.The idea behind General Motors and Home Consortium pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Home Consortium vs. Janison Education Group | Home Consortium vs. Qbe Insurance Group | Home Consortium vs. Centuria Industrial Reit | Home Consortium vs. Catalyst Metals |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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